Articles

The Predictive Role of Language Proficiency and Non-Cognitive Skills on Mathematical Competence among Maritime Students

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Mathematical competence is a fundamental requirement in the maritime industry, as it supports essential functions such as navigation, vessel operations, safety management, and data-driven decision-making among maritime professionals. This study examined the predictive role of language proficiency and non-cognitive skills on the mathematical competence of maritime students at Capitol University in Cagayan de Oro City, Philippines. Using a causal research design, data were collected from 88 third-year maritime students using stratified random sampling and adapted research instruments. Data were collected through face-to-face administration, and prior to conducting the linear regression analysis, several critical assumptions were carefully examined. Descriptive statistics revealed that students demonstrated high levels of language proficiency, non-cognitive skills, with reading comprehension and social skills obtaining the highest mean scores. Also, mathematical competence was generally rated as high with applied maritime mathematical skills obtaining the highest mean score. However, only non-cognitive skills significantly predicted mathematical competence with academic behavior emerging as the only significant dimension. The findings highlight the critical role of behavioral and attitudinal factors in strengthening mathematical performance in maritime education and suggest that enhancing students’ study habits, engagement, and responsibility may be more impactful than focusing solely on language proficiency.

Exploring the Impact of CRM Strategies on Customer Loyalty with the Mediating Role of Relationship Quality

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The main goal of this study is to decode the complex connections between Consumer relationship marketing strategies (CRMTs), consumer loyalty, and the critical function of relationship quality (Customer trust) as a mediator. Data were collected from 792 students using mobile for communication and other purposes through a carefully structured questionnaire. The study focused on three key consumer relationship marketing strategies namely service quality, price perception and value offer and examined their effects on customer loyalty. The deployment of statistical tools, including descriptive statistics, correlation analysis, and regression analysis, has provided a robust foundation for these conclusions. The results showed that these strategies have a noteworthy impact on customer loyalty, indicating that they are crucial in forming and sustaining customer loyalty in the ever-changing mobile telecom market.

In addition, the study examined the mediating role of relationship quality through customer trust using the Sobel test. This analysis provided deeper insight into the underlying relationships. The results highlighted relationship quality as a key mediator between customer loyalty and the proposed marketing strategies, showing that customer trust significantly shapes the impact of these strategies on loyalty.

Finally, the study not only provided important insights into the factors influencing customer loyalty in the mobile telecom industry but also emphasised the multifaceted relationships between relationship marketing approaches and the role of relationship quality as a moderator. These findings are significant for industry practitioners because they provide actionable knowledge to improve and maximise client loyalty methods in the highly competitive mobile telephony market.

Addressing the Environmental Concerns: Statistical Approach for Mg2+ and Mn2+ Mitigation in Water System Sustainability in Indonesia

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This research aimed to determine the most effective adsorbent for reducing Mg2+ and Mn2+ levels in residential water near the oil and gas industry in the Tambun area, Bekasi, Indonesia. Bentonite was tested with varying temperature conditions. The study further compared activated charcoal and bentonite as potential adsorbents, examining their efficacy under different contact times (10, 20, and 30 minutes). Thus, sampling followed the SNI 6989.57:2008 method for surface water sampling, with bentonite conditioning and activation as initial steps. Next, the adsorption experiments utilized a separating funnel, varying the contact time between adsorbent and sample. Hence, the filtrates were analyzed quantitatively for Mn2+ using atomic absorption spectroscopy and for Mg2+ through complexometric titration.